Fuzzy Controller for Weather Prediction

The document details a Fuzzy Controller for Weather Prediction that uses fuzzy logic to model and predict two key variables: the change in temperature (Delta T) and the level of precipitation (P). The system relies on three linguistic input variables (Temperature, Humidity, and Wind Speed) and employs the Mamdani inference method (Min-Max) and Centroid defuzzification. The rule set is justified by three underlying physical principles: Physical Block: Ensures no precipitation occurs if humidity is low or normal.1 Latent Cooling: Models temperature drop and intense precipitation under conditions of saturation and strong wind. Thermal Inertia: Assumes the weather will remain stable in the absence of significant perturbations (Persistence Method). A system validation, simulating heat and high humidity, demonstrated the controller's ability to generate a nuanced prediction of light rain and an associated temperature decrease.